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Payam Parsa
Payam Parsa
Faculty of Civil Engineering, Semnan University
Verified email at semnan.ac.ir
Title
Cited by
Cited by
Year
Failure mode prediction of reinforced concrete columns using machine learning methods
H Naderpour, M Mirrashid, P Parsa
Engineering Structures 248, 113263, 2021
742021
Shear strength estimation of reinforced concrete walls using support vector regression improved by Teaching–learning-based optimization, Particle Swarm optimization, and Harris …
P Parsa, H Naderpour
Journal of Building Engineering 44, 102593, 2021
352021
Innovative Approach for Moment Capacity Estimation of Spirally Reinforced Concrete Columns Using Swarm Intelligence–Based Algorithms and Neural Network
H Naderpour, P Parsa, M Mirrashid
Practice Periodical on Structural Design and Construction 26 (4), 04021043, 2021
142021
Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks
T Kalman Sipos, P Parsa
Journal of Soft Computing in Civil Engineering 4 (1), 111-126, 2020
132020
A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms
P Parsa, H Naderpour, N Ezami
Neural Computing and Applications, 1-30, 2024
2024
Investigation of retrofitting and Seismic Rehabilitation Methods of Reinforced Concrete Shear Wall (in Persian)
P Parsa, H Naderpour
10th National Conference on Concrete, 2018
2018
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Articles 1–6